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Rysun Labs
4.1
Azure Data Engineer
Toronto
$60.00 Per hour (Employer provided)
Easy Apply
Bachelor’s degree in computer science, Information Technology, Engineering, or a related field. We are seeking a skilled Data Engineer to design, develop, and……
12d
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3.5
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$98K - $106K (Glassdoor Est.)
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Novara
4.8
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Machine Learning Engineer - Express Scripts Canada
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MEDFAR Clinical Solutions
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Rysun Labs

4.1

Azure Data Engineer

Toronto

$60.00 Per hour (Employer provided)

Benefits:

Dental insurance
Health insurance
Paid time off
Training & development
Vision insurance

Rysun Labs (formerly KCS – Krish Compusoft Services) is an AI, Data & Digital innovation partner of choice for enterprises. Rysun guides and accelerates the AI & Data strategy and Digital Transformation programs for Fortune 2000 enterprises and product startups to shape remarkable customer experiences and intelligent operations. The team delivers innovative, specialized solutions that help High-tech, Retail & Ecommerce, and Energy companies to outperform competition and lead the change in their industry. Rysun partners with Microsoft, Google and AWS to bring the best of enterprise technology to its customers. Rysun believes in quality-first and is CMMI Level 5, ISO 9001 & 27001 certified. The team has a growth mindset fueled by a strong culture of collaboration that unifies its global teams across US, UK, India & South Africa (a proud Level 2 B-BBEE Contributor).

We are seeking a skilled Data Engineer to design, develop, and optimize scalable cloud-based data solutions on Microsoft Azure. The ideal candidate will have strong expertise in Azure data services, data ingestion frameworks, modern data warehousing, and ELT/ETL development using dbt and Snowflake.

The role involves building robust data pipelines, transforming raw data into analytics-ready datasets, implementing best practices for data engineering, and collaborating with cross-functional teams to deliver high-quality, scalable data solutions.

Job Title: Azure Data Engineer

Location: Remote role

Experience: 6+ yr

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF V2).
Build automated data ingestion frameworks to process bulk data from multiple source systems into target platforms.
Implement Watermark and Change Data Capture (CDC) strategies for incremental data loading.
Design and develop modern Azure cloud data architectures for enterprise-scale applications.
Create and manage secure, scalable, and cost-effective hosting solutions on Microsoft Azure.
Develop, optimize, and maintain dbt models, macros, seeds, snapshots, and tests to transform raw data into analytics-ready datasets.
Work extensively with Snowflake to develop and optimize data models, transformations, and performance.
Implement version control, documentation, and deployment best practices for dbt projects.
Handle and process multiple file formats including JSON, Parquet, and other structured or semi-structured data.
Collaborate with Data Analysts, Data Scientists, Architects, and Business teams to understand data requirements.
Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
Ensure data quality by implementing testing, validation, and monitoring mechanisms.
Troubleshoot and resolve data pipeline and platform-related issues.
Follow industry best practices for security, governance, and data management.

Required Qualifications

Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
5–10 years of experience in Data Engineering or Cloud Data Engineering.
Strong expertise in Microsoft Azure Data Services.
Hands-on experience with Azure Data Factory (ADF V2).
Experience designing and implementing:
- Bulk Data Ingestion Frameworks
- Watermark-based Incremental Loads
- Change Data Capture (CDC)
Strong understanding of Azure cloud architecture and data platform design.
Experience working with Snowflake as a cloud data warehouse.
Hands-on experience with dbt (Data Build Tool), including:
- dbt Models
- Macros
- Tests
- Documentation
- Version Control
Experience processing data in formats such as:
- JSON
- Parquet
- CSV
Strong SQL programming and query optimization skills.
Experience with Git-based version control.

See company reviews

Base pay

The minimum salary is $60.00 and the max salary is $60.00.

$60.00/hr (Employer provided)

Toronto

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Working here doesn’t have to be a secret

4.1

Recommend to a friend
Approve of CEO
CEO: Vishal Shukla
69 Ratings

Rysun Labs

4.1

Azure Data Engineer

Toronto

$60.00 Per hour (Employer provided)

Rysun Labs

4.1

Azure Data Engineer

Toronto

$60.00 Per hour (Employer provided)

Benefits:

Dental insurance
Health insurance
Paid time off
Training & development
Vision insurance

Job Title: Azure Data Engineer

Location: Remote role

Experience: 6+ yr

Key Responsibilities

Design, develop, and maintain scalable data pipelines using Azure Data Factory (ADF V2).
Build automated data ingestion frameworks to process bulk data from multiple source systems into target platforms.
Implement Watermark and Change Data Capture (CDC) strategies for incremental data loading.
Design and develop modern Azure cloud data architectures for enterprise-scale applications.
Create and manage secure, scalable, and cost-effective hosting solutions on Microsoft Azure.
Develop, optimize, and maintain dbt models, macros, seeds, snapshots, and tests to transform raw data into analytics-ready datasets.
Work extensively with Snowflake to develop and optimize data models, transformations, and performance.
Implement version control, documentation, and deployment best practices for dbt projects.
Handle and process multiple file formats including JSON, Parquet, and other structured or semi-structured data.
Collaborate with Data Analysts, Data Scientists, Architects, and Business teams to understand data requirements.
Optimize data pipelines for performance, scalability, reliability, and cost efficiency.
Ensure data quality by implementing testing, validation, and monitoring mechanisms.
Troubleshoot and resolve data pipeline and platform-related issues.
Follow industry best practices for security, governance, and data management.

Required Qualifications

Bachelor’s degree in computer science, Information Technology, Engineering, or a related field.
5–10 years of experience in Data Engineering or Cloud Data Engineering.
Strong expertise in Microsoft Azure Data Services.
Hands-on experience with Azure Data Factory (ADF V2).
Experience designing and implementing:
- Bulk Data Ingestion Frameworks
- Watermark-based Incremental Loads
- Change Data Capture (CDC)
Strong understanding of Azure cloud architecture and data platform design.
Experience working with Snowflake as a cloud data warehouse.
Hands-on experience with dbt (Data Build Tool), including:
- dbt Models
- Macros
- Tests
- Documentation
- Version Control
Experience processing data in formats such as:
- JSON
- Parquet
- CSV
Strong SQL programming and query optimization skills.
Experience with Git-based version control.

See company reviews

Base pay

The minimum salary is $60.00 and the max salary is $60.00.

$60.00/hr (Employer provided)

Toronto

Working here doesn’t have to be a secret

4.1

Recommend to a friend
Approve of CEO
CEO: Vishal Shukla
69 Ratings

12 Csv - computer systems engineer jobs in Canada

Base pay

Working here doesn’t have to be a secret

Base pay

Working here doesn’t have to be a secret